Yongshun Gong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 62

Top Topics

Weakly Supervised

Sequential Patterns

Minimum Support

Statistical Data

Top Venues

IEEE Trans. Multim.

IEEE Trans. Knowl. Data Eng.

Publications

Jin Huang, Yongshun Gong, Yang Shi, Xinxin Zhang, Jian Zhang, Yilong Yin
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Trans. Multim. 26 (2024)
Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR (2024)
Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. AAAI (2024)
Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. CoRR (2024)
Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen
Urban Region Embedding via Multi-View Contrastive Prediction. AAAI (2024)
Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR (2024)
Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang
Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models. CoRR (2024)
Jin Huang, Yongshun Gong, Lu Zhang, Jian Zhang, Liqiang Nie, Yilong Yin
Modeling Multiple Aesthetic Views for Series Photo Selection. IEEE Trans. Multim. 26 (2024)
Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. 287 (2024)
Haojie Xie, Yongshun Gong, Xiangjun Dong
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. Int. J. Data Sci. Anal. 17 (2) (2024)
Jianwei Sun, Yang An, Xinyu Jiang, Qian Li, Yulong Liu, Yongshun Gong
Synonym Replacement and Generation Enhancement for Document Augmentation. ICASSP (2024)
Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin
CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR (2024)
Junjie Zhang, Qiming Zhang, Yongshun Gong, Jian Zhang, Liang Chen, Dan Zeng
Weakly Supervised Semantic Segmentation With Consistency-Constrained Multiclass Attention for Remote Sensing Scenes. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR (2024)
Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) (2024)
Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD (2024)
Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng
scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328 (2024)
Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD (2024)
Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41 (4) (2023)
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
Private-Library-Oriented Code Generation with Large Language Models. CoRR (2023)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8 (4) (2023)
Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong
Toward Better Structure and Constraint to Mine Negative Sequential Patterns. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Mengyi Wang, Xinxin Zhang, Yongshun Gong, Yilong Yin
Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement. ACM Multimedia (2023)
Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong
Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. 282 (2023)
Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen
Urban Region Embedding via Multi-View Contrastive Prediction. CoRR (2023)
Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong
Point Cloud Pre-training with Diffusion Models. CoRR (2023)
Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM (2023)
Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen
Latent evolution model for change point detection in time-varying networks. Inf. Sci. 646 (2023)
Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Yuansheng Liu, Xiangzhen Shen, Yongshun Gong, Yiping Liu, Bosheng Song, Xiangxiang Zeng
Sequence Alignment/Map format: a comprehensive review of approaches and applications. Briefings Bioinform. 24 (5) (2023)
Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM (2023)
Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V. CoRR (2023)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement for Neural Networks. ICME (2022)
Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin
Series Photo Selection via Multi-view Graph Learning. CoRR (2022)
Lu Zhang, Jingsong Xu, Yongshun Gong, Litao Yu, Jian Zhang, Jialie Shen
Unsupervised Image and Text Fusion for Travel Information Enhancement. IEEE Trans. Multim. 24 (2022)
Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. CVPR (2022)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement For Neural Networks. CoRR (2022)
Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin
Series Photo Selection via Multi-View Graph Learning. ICME (2022)
Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen
Latent Evolution Model for Change Point Detection in Time-varying Networks. CoRR (2022)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Junya Teng, Xiankai Lu, Yongshun Gong, Xinfang Liu, Xiushan Nie, Yilong Yin
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 24 (2022)
Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou
Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing. ACM Multimedia (2021)
Yu Cheng, Yongshun Gong, Yuansheng Liu, Bosheng Song, Quan Zou
Molecular design in drug discovery: a comprehensive review of deep generative models. Briefings Bioinform. 22 (6) (2021)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI (2020)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI (2020)
Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
Field-wise Learning for Multi-field Categorical Data. CoRR (2020)
Xiangjun Dong, Yongshun Gong, Longbing Cao
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. 50 (5) (2020)
Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu
Field-wise Learning for Multi-field Categorical Data. NeurIPS (2020)
Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. KDD (2019)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR (2019)
Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. CoRR (2019)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM (2018)
Xiangjun Dong, Yongshun Gong, Longbing Cao
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. 84 (2018)
Lu Zhang, Jingsong Xu, Jian Zhang, Yongshun Gong
Information Enhancement for Travelogues via a Hybrid Clustering Model. DICTA (2018)
Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv
e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. 31 (2) (2017)
Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong
E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports. Int. J. Pattern Recognit. Artif. Intell. 31 (2) (2017)